Overview

Docker & Kubernetes at Home: A Modern Guide to Self-Hosted Homelabs with Plex, Pi-hole & More Turn your home network into a private cloud you control. This hands-on, project-driven guide walks you from zero to a resilient, production-style homelab-first with Docker/Compose, then scaling to Kubernetes (K3s/MicroK8s)-so you can stream your media, block ads network-wide, automate your home, protect remote access, back up everything, and even run local AI on your own hardware. No fluff. No enterprise detours. Just clean flowcharts, professional tables, and copy-ready configurations that work. What you'll build (step-by-step labs) Media & Storage: Plex/Jellyfin, Immich photo hub, TrueNAS integration with NFS/iSCSI & Kubernetes PVCs Network & Smart Home: Home Assistant, Pi-hole/AdGuard, Nginx Proxy Manager or Traefik with clean HTTPS URLs Secure Remote Access: pfSense with WireGuard/OpenVPN-VPN-first exposure patterns that keep admin UIs private Observability: Prometheus + Grafana dashboards, Loki centralized logs, alerting you can trust Backups & DR: Velero + Longhorn snapshots/backups, restore simulations that prove your strategy works Local AI at Home: Ollama & LM Studio on Kubernetes, Stable Diffusion with GPU passthrough, NVIDIA Operator scheduling What you'll learn (and actually use) Docker fundamentals done right: images, containers, volumes, networks, and Compose v2 multi-app stacks Kubernetes without the enterprise bloat: K3s/MicroK8s, multi-node clustering, Ingress, Services, PVCs, Helm Storage that doesn't lose data: NFS/iSCSI with TrueNAS, Longhorn replication, snapshot/backup flows that hold up under failure Networking that scales safely: reverse proxies (Traefik/NPM), TLS, DNS, VPN patterns, and service exposure decision trees Monitoring & logging you'll actually check: Prometheus, Grafana, and Loki-signal over noise AI at the edge: model persistence on PVCs, GPU-aware scheduling, and practical pipelines for LLMs & generative image workloads GitOps-friendly ops: ArgoCD basics, clean namespaces, repeatable manifests, and upgrade playbooks Fix it fast: battle-tested troubleshooting cheatsheets for Docker, Kubernetes, DNS/firewalls, PVCs, and CrashLoopBackOffs Who this book is for Self-hosters ready to move from ""one-off containers"" to reliable, monitored services Developers & tinkerers who want a home lab that feels like a small production cluster Privacy-minded builders who prefer keeping media, photos, and AI workloads on-prem, not in the cloud Beginner → intermediate readers who learn best by doing, with clear flowcharts, tables, and copy-ready configs If you've been piecing together tutorials and wish your homelab felt coherent, resilient, and upgrade-safe, this is your playbook. Build services you're proud to rely on-then scale them with confidence. Own your cloud. Secure your data. Run modern apps (and AI) at home.

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